Staff infrastructure engineer building Mercury’s fintech services platform, service ecosystem, and Kubernetes deployment standards. Improving observability, operational safety, and scalable infrastructure adoption across engineering teams.
About the role
- Staff AI Platform & Agent Runtime Engineer at EQ Bank developing enterprise-scale AI and agent execution platforms. Leading the architecting and operationalizing AI solutions for secure deployments.
Responsibilities
- Define enterprise AI platform architecture and roadmap. **• Design, build and operate AI-native CI/CD platforms. **• Implement secure-by-design AI controls and governance. **• Define reliability, observability, resilience and FinOps practices. **• Lead architecture reviews and developer enablement programs. **• Provide technical leadership across engineering teams.
Requirements
- 7+ years of software, platform, or cloud engineering experience, with 3+ years in AI/ML platforms or agentic AI systems. **• Deep hands-on expertise with Azure (AKS, networking, private endpoints, identity, Key Vault) and Azure AI Foundry or equivalent AI platforms. **• Proven experience building CI/CD pipelines for ML/LLM workloads (model, prompt, and agent lifecycle management). **• Strong background in distributed systems, container orchestration (Kubernetes), and API/SDK design. **• Experience with agent frameworks (e.g., Semantic Kernel, LangChain, AutoGen) and orchestration patterns (memory, tools, planning). **• Solid understanding of LLM inference optimization, model routing, evaluation, and observability. **• Track record of establishing platform standards, paved paths, and developer enablement at scale. **• Excellent collaboration and communication skills across engineering, security, risk, and business stakeholders.
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